Soochang Park

33 total papers · 627 total citations
20 papers, 431 citations indexed

About

Soochang Park is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Soochang Park has authored 20 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 8 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Soochang Park's work include Opportunistic and Delay-Tolerant Networks (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and IoT and Edge/Fog Computing (5 papers). Soochang Park is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and IoT and Edge/Fog Computing (5 papers). Soochang Park collaborates with scholars based in South Korea, Hong Kong and France. Soochang Park's co-authors include Noël Crespi, Dina Hussein, Antonio M. Ortiz, Son N. Han, James She, Pai Chet Ng, Sang‐Ha Kim, Kang Eun Jeon, Jeongcheol Lee and Ming Cheung and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Communications Letters.

In The Last Decade

Soochang Park

19 papers receiving 419 citations

Hit Papers

The Cluster Between Inter... 2014 2026 2018 2022 2014 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Soochang Park 302 179 86 86 37 20 431
Antonio M. Ortiz 350 1.2× 159 0.9× 79 0.9× 77 0.9× 38 1.0× 26 460
Simon G. M. Koo 360 1.2× 132 0.7× 85 1.0× 73 0.8× 27 0.7× 34 488
Rich Picking 207 0.7× 174 1.0× 86 1.0× 57 0.7× 48 1.3× 18 478
Bilal Afzal 247 0.8× 114 0.6× 73 0.8× 96 1.1× 50 1.4× 10 378
Panayotis Kikiras 303 1.0× 105 0.6× 107 1.2× 92 1.1× 90 2.4× 32 474
Chengcheng Zhou 232 0.8× 112 0.6× 106 1.2× 45 0.5× 59 1.6× 30 408
Atif Alamri 287 1.0× 101 0.6× 94 1.1× 87 1.0× 44 1.2× 14 427
Vasco Pereira 317 1.0× 136 0.8× 118 1.4× 73 0.8× 55 1.5× 37 482
Gaurav Tripathi 289 1.0× 106 0.6× 113 1.3× 68 0.8× 40 1.1× 10 409
Uwe Rauschenbach 259 0.9× 132 0.7× 81 0.9× 121 1.4× 38 1.0× 21 409

Countries citing papers authored by Soochang Park

Since Specialization
Citations

This map shows the geographic impact of Soochang Park's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Soochang Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soochang Park more than expected).

Fields of papers citing papers by Soochang Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soochang Park. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Soochang Park. The network helps show where Soochang Park may publish in the future.

Co-authorship network of co-authors of Soochang Park

This figure shows the co-authorship network connecting the top 25 collaborators of Soochang Park. A scholar is included among the top collaborators of Soochang Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Soochang Park. Soochang Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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